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Traffic Features: These include features that are computed with respect to a window interval and are divided into two categories.
The window interval (W) over which the adaptation is conducted; The credit assignment scheme required to convert feedback information into a suitable reward.
So to improve the channel performance during the CAP time, we use a fixed-size contention window, but a nonuniform, geometrically increasing probability distribution for picking a transmission slot in the contention window interval.
In this paper, we use a fixed size contention window, but a nonuniform, geometrically increasing probability distribution for picking a transmission slot (i.e., transmitting probability) in the contention window interval instead of traditional(here, traditional backoff procedure means CSMA/CA scheme with binary exponential backoff (BEB), unless and otherwise specified)backoff procedure.
In case of packet transmission failure due to fading or collisions, source node after sensing for DIFS duration backs off for a random duration that is uniformly distributed over the contention window interval [0, CW i ], where for the i th retransmission attempt CW i = 2 i CWmin and CW i ∈ [CWmin, CWmax].
The shaping signal of s ( k, u, j, λ ( j ) ) [ n ], noted s ˜ ( k, u, j, λ ( j ) ) [ n ], simply takes the value of the selected median M along the selected window interval Θ: s ˜ k, u, j, λ j n = Μ v = ϖ for n = ρ, ρ + 1, …, ρ + Θ v = ϖ − 1. (10). Figure 8 Process diagram of the iterative FRP shaping algorithm for ρ ≥ ρ init.
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The histograms of the different window intervals are estimated, and selected histogram bins are used for classification into pre-ictal and inter-ictal states based on comparison with reference histograms.
The ROTI represents the standard deviation of ROT for a 5-min interval using a running window mode (Eq. 5): {text{ROTI}} = sqrt {leftlangle {{text{ROT}}^{2} } rightrangle - leftlangle {text{ROT}} rightrangle^{2} } (5 Features and limitations of the different sampling rates and running window intervals and their impact on the ROTI estimates were discussed by Jacobsen (2014).
To accomplish continuous variability analysis over time, CIMVA employs a moving window approach, whereby a window (interval-in-time) of user specified width and step marches through the input signal, computing and time-stamping different variability metrics at each step, thus making it possible to monitor a change in HRV over time.
Hydrophobicity plots were calculated for using DNAMAN software (Lynnon BioSoft, Canada), for window intervals of nine residues.
To evaluate the local recombination rates within 1-kb windows shifted by 50 bp, we took into account the partial overlap of the probes with the window intervals.
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